Multimodal Imaging Brain Markers in Early Adolescence Are Linked with a Physically Active Lifestyle
Salvan P. et al, (2021), The Journal of Neuroscience, 41, 1092 - 1104
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
Fitzgibbon SP. et al, (2020), Neuroimage, 223
Modelling subject variability in the spatial and temporal characteristics of functional modes.
Harrison SJ. et al, (2020), Neuroimage, 222
Detecting connectivity in EEG: A comparative study of data-driven effective connectivity measures.
Bakhshayesh H. et al, (2019), Comput Biol Med, 111
Detecting synchrony in EEG: A comparative study of functional connectivity measures.
Bakhshayesh H. et al, (2019), Comput Biol Med, 105, 1 - 15
Optimising neonatal fMRI data analysis: Design and validation of an extended dHCP preprocessing pipeline to characterise noxious-evoked brain activity in infants
Baxter L. et al, (2019), NeuroImage, 186, 286 - 300
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project
Bastiani M. et al, (2019), NeuroImage, 185, 750 - 763
Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction
Bastiani M. et al, (2019), NeuroImage, 184, 801 - 812
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project
Bozek J. et al, (2018), NeuroImage, 179, 11 - 29
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction
Makropoulos A. et al, (2018), NeuroImage, 173, 88 - 112
Improved artefact removal from EEG using Canonical Correlation Analysis and spectral slope
Janani AS. et al, (2018), Journal of Neuroscience Methods, 298, 1 - 15
Towards Detecting Connectivity in EEG: A Comparative Study of Parameters of Effective Connectivity Measures on Simulated Data
Bakhshayesh H. et al, (2018), 2018 IEEE-EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES), 297 - 301
Evaluation of a minimum-norm based beamforming technique, sLORETA, for reducing tonic muscle contamination of EEG at sensor level
Janani AS. et al, (2017), Journal of Neuroscience Methods, 288, 17 - 28
Hand classification of fMRI ICA noise components
Griffanti L. et al, (2017), NeuroImage, 154, 188 - 205
Reducing training requirements through evolutionary based dimension reduction and subject transfer
Atyabi A. et al, (2017), Neurocomputing, 224, 19 - 36
Electroencephalographic correlates of states of concentrative meditation
DeLosAngeles D. et al, (2016), International Journal of Psychophysiology, 110, 27 - 39
Construction of a neonatal cortical surface atlas using multimodal surface matching
Bozek J. et al, (2016), 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Automatic determination of EMG-contaminated components and validation of independent component analysis using EEG during pharmacologic paralysis
Fitzgibbon SP. et al, (2016), Clinical Neurophysiology, 127, 1781 - 1793
Cross subject mental work load classification from electroencephalographic signals with automatic artifact rejection and muscle pruning
Kunjan S. et al, (2016), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9919 LNAI, 295 - 303